Alternatives and similar repositories for offline_neural_bandits

Users that are interested in offline_neural_bandits are comparing it to the libraries listed below

• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 6 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆98Updated 4 years ago
• fmaxgarcia / Meta-MDP
  ☆10Updated 6 years ago
• robintyh1 / neurips2021-meta-gradient-offpolicy-evaluation
  Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021
  ☆13Updated 4 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 6 years ago
• RingBDStack / SR-MARL
  ☆13Updated 3 years ago
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 5 years ago
• lyeskhalil / CORL
  ☆26Updated 3 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆29Updated 7 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆20Updated 2 years ago
• lmzintgraf / gp_pref_elicit
  Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes
  ☆23Updated 7 years ago
• uclaml / NeuralUCB
  ☆49Updated 5 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• antoinedesir / RUMnet
  ☆10Updated 2 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆51Updated 2 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 7 years ago
• apexrl / autombpo
  Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
  ☆13Updated 4 years ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 5 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 6 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 7 years ago
• npvoid / OnlineDoubleOracle
  ☆11Updated 4 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆15Updated 4 years ago
• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• LucasAlegre / mbcd
  Code for the paper "Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection"
  ☆10Updated 2 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago